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  1. AI_Agents AI_Agents Public

    A hands-on learning project for building AI agents using Python, Hugging Face, and OpenAI’s agent design principles.

    Jupyter Notebook

  2. RAG-LangChain RAG-LangChain Public

    🚀 This project explores how to combine: 🔍 RAG architecture — retrieving relevant documents to ground LLM responses 🧱 LangChain — for orchestration, retrieval, and tool integration 🤖 OpenAI models (…

    Jupyter Notebook

  3. ML_Classification_Pipeline_Loan_Defaults ML_Classification_Pipeline_Loan_Defaults Public

    Machine Learning Classification - Overcoming notoriously imbalanced loan default data using resampling, statistics, extensive feature engineering, and predictive modeling. Loan defaults data provid…

    Jupyter Notebook

  4. LLMs LLMs Public

    Leveraging the Power of Large Language Models.

    Jupyter Notebook

  5. Machine_Learning_Pipelines Machine_Learning_Pipelines Public

    Machine Learning Pipelines streamline the process of preprocessing data and training models, increasing efficiency, reduce errors, eliminate data leakage.

    Jupyter Notebook

  6. Statistics-Data-Analysis-Visualizations Statistics-Data-Analysis-Visualizations Public

    This repository is a comprehensive resource for statistical analysis, focusing on how data scientists use statistics to derive insights, inform decisions, and validate hypotheses. Through practical…

    Jupyter Notebook